CASE STUDY 04

Autonomous Post-Learning Intelligence

An end-to-end pipeline that ingests training data, calculates educational ROI, and distributes multi-stakeholder reports — automatically, within minutes of course completion.

n8n Cloud Google Gemini Supabase ROI Engine
100% Admin efficiency — zero manual lag
3 Stakeholder channels simultaneously
<2min From raw data to distributed reports

INTERACTIVE DEMO

Configure the program parameters

Adjust scores and KPIs to simulate different program outcomes. The system will calculate ROI and generate all four stakeholder reports.

Participant perception of training quality and relevance.

Post-training performance assessment. The delta vs. Satisfaction drives ROI.

Expected productivity gain tied to this training program.

Reduction in staff turnover attributed to this program.

Primary Stakeholder

Processing training data...

n8n → Gemini → Supabase

GENERATED REPORTS

Intelligence distributed across 3 channels

✉ Delivered via Gmail
◈ Synced to Notion

Total ROI

—

Weighted composite index

Score Delta

—

Eval vs. Satisfaction gap

◈ Auto-populated in Notion
⚡ Sent via MS Teams
Real-time Operational Alert

TECHNICAL ARCHITECTURE

End-to-end orchestration

From webhook trigger to distributed reports across Gmail, Notion, and Teams.

🌐
Webhook
⚙️
JS Logic Gate
G
Gemini LLM
🗄️
Supabase
✉️
Gmail
◈
Notion
⚡
MS Teams

WHAT HAPPENS NEXT

✉

C-Suite receives the report

An HTML executive report lands in the Director's inbox with strategic next steps and ROI validation.

◈

Notion audit is populated

The pedagogical audit auto-populates a Notion database entry for instructional refinement.

⚡

Teams alert fires instantly

Operations teams receive a real-time alert with the critical metric and required action.